Skip navigation

Advanced Data Science (Taught)

Course details
  • 2 Study options
  • Postgraduate
Course location
Markeaton Street

Course summary

  • Develop advanced skills in statistical analysis, business analytics, data processing, and natural language processing, including large language models (LLMs)

  • Gain a critical understanding of the principles, methods and challenges of modern data science, including ethics, trust, and governance in AI systems

  • Learn the latest techniques and tools delivered by research-active academics with expertise in data science, artificial intelligence, and real-world analytics

  • Build the ability to apply analytical and computational methods to real-world datasets across business, public services, engineering, and digital industries

  • Develop independent research and problem-solving skills through a substantial MSc project

Future focused content
Organisations across every sector are increasingly driven by data. The ability to extract insight, build predictive models, and communicate results effectively is now a core professional skill. This programme provides a robust grounding in statistics, data analytics, and large-scale data processing, combined with a strong emphasis on practical application and responsible AI.

You will study key areas of advanced data science including:

  • statistical techniques for data analysis and modelling

  • business and organisational analytics

  • processing and analysing large and complex datasets

  • natural language processing and text analytics

  • ethics, trust, and governance in data and AI systems

  • research methods and independent scholarship

The programme has been developed in collaboration with industry partners that are global leaders in data and AI solutions, whose platforms are widely used across industry and academia. You will gain both theoretical knowledge and hands-on experience with modern analytics software and tools, preparing you for careers in data science, analytics, and artificial intelligence.

You will also have the opportunity to work towards an industry-recognised SAS qualification by taking the relevant professional examinations. Graduates may additionally meet the academic requirements for Chartered Information Technology Professional (CITP) status, subject to appropriate professional experience after completing the programme.

Entry requirements

Select a course option at the top of this page to view entry requirement information.

Fees and funding

Choose a specific option to see funding information.

Course options
Like this page